Font Size: a A A

Application Of The Lotka-Volterra Model For Software Testing Process

Posted on:2008-07-25Degree:MasterType:Thesis
Country:ChinaCandidate:L YangFull Text:PDF
GTID:2178360215950930Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
With the deep applications of the computer technology, the computer has become an indispensable and important tool for the people's work and study. It can supplant or support the people's work in more and more areas. This results in the higher requirement for the stability and correctness of computer system; on the other hand, the more functions also make the computer software more complicated. Software quality management and maintenance policies have been concentrated on by peoples.Software testing is an important step of software development process, and also an important means and stage to assure the software quality. Adequate testing can find software errors as early as possible and as many as possible. It helps to correct the errors in time, and improve software quality. The analysis and forecast of the software testing process are very important to control software development process and improve software quality.In this paper, we first give a review for the current situations on software testing at home and abroad, and then introduce the Lotka-Volterra model and software testing process using this model. A dynamic model of the software testing process based on the work time is proposed. It can predict the end time of software testing process by quantifying the faults detection efficiency, and simulate software test process more effectively than the other existing models. Besides, we also show that the fault detection efficiency is a better indicator to determine when to stop software testing and to release software. By means of some simulation examples, we analyze the advantages and effectiveness of the model, and compare our model with other similar ones.
Keywords/Search Tags:Software testing, Lotka-Volterra model, Effort estimation, model evaluation, fault detection efficiency
PDF Full Text Request
Related items